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检索条件"任意字段=3rd International Conference on Robotics and Control Engineering, RobCE 2023"

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Thermogram-based Regions With Convolutional Neural Network (RCNN) and Facial Biometrics for Safe Driving 3

Thermogram-based Regions With Convolutional Neural Network (...

引用

3rd international conference on robotics, Electrical and Signal Processing Techniques, ICREST 2023

作者： Sarkar, Sukanta Bin Khayer, Tammat Kisan, Nafish Haque Uddin, Mohammad Nasir American International University-Bangladesh Dept. of Electrical and Electronic Engineering Dhaka Bangladesh

ISBN: (纸本)9798350346435

A significant number of wrongful death cases involve motor vehicle accidents. In most car accidents, the driver is somehow at fault. This can be due to a lack of visibility, slow decision-making, or bad weather, among other things. The proposed system aims to create a safe driving assist technology consisting of thermal camera-based object detection and intelligent vehicle anti-theft measures to assist in safe driving and provide vehicle security on top of the existing system. This proposed system not only can easily detect objects in low visibility under unsuitable weather conditions, with an average accuracy of 97% but also provides vehicle safety by using facial-biometrics-based vehicle authentication where the accuracy is 95%. This also has a 36 facial data saving capacity in the database at a time. The authorized user doesn't always require internet support to access the vehicle, whereas the unregistered user needs app-based permission from the user to access the car. © 2023 IEEE.

关键词： Decision making

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Dynamic performance optimization of four-wheel independent drive vehicle based on sliding mode control 3

Dynamic performance optimization of four-wheel independent d...

引用

3rd international conference on Mechanical, Electronics, and Electrical and Automation control, METMS 2023

作者： Guo, Zhiyuan Miao, Zhonghua Li, Nan School of Mechatronic Engineering and Automation Shanghai University Shanghai China

ISBN: (纸本)9781510666689

This study mainly analyzes the influencing factors of four-wheel independent drive/independent steering in the process of vehicle operation, and establishes a two-degree-of-freedom dynamic model under the ideal condition. By changing the dynamic model of carsim, Realize the carsim model of four-wheel drive and MATLAB/simulink joint dynamic simulation, the output analysis results, for more accurate and more adaptable to the complex environment of the control to lay a theoretical analysis foundation, for the consideration of working conditions, four-wheel independent drive/independent steering vehicle in the process of motion stability is very important, through the ideal sliding mode control, Improve the handling stability of the car. © 2023 SPIE.

关键词： Sliding mode control

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Unveiling the Potential of Three-Phase to Three-Phase Matrix Converter for Enhanced Efficiency and control 3

Unveiling the Potential of Three-Phase to Three-Phase Matrix...

引用

3rd IEEE international conference on Smart Technologies for Power, Energy and control, STPEC 2023

作者： Sahoo, Sesadri Bhusan Behera, Ranjan Kumar Iit Patna Department of Electrical Engineering Patna India

ISBN: (纸本)9798350304732

This paper presents improved switching techniques of the 3Phase-3Phase matrix converter for AC drive applications to improve motor performance and dynamics. This converter provides one-stop solution producing variable AC voltage and frequency, bypassing the traditional AC-DC-AC conversion process. The absence of an energy storage element further enhances the compactness of the converter. The control of the converter, particularly its nine switches, is examined in this research, revealing certain challenges. The Space Vector Pulse Width Modulation (SVPWM) technique is proposed to alleviate these control complexities, offering improved management in both inverter and rectifier modes. A platform is designed to unify the control of these two modes, leading to streamlined operation of the converter's switches. An in-depth discussion of switching transitions, which includes zero vectors and the specific timings of the nine segments, is also provided to simplify the understanding of these intricate dynamics. Matrix Converter has the capability to produce sinusoidal output voltages with varying amplitude and frequency, enabling precise control of AC motor speed and torque. The converter's performance is analyzed under various load conditions, and on the operation of an induction motor powered by the same converter. The results, validated through extensive simulations, show significant improvements in reducing THD, enhancing motor performance and dynamics. © 2023 IEEE.

关键词： Induction Motor (IM) Matrix Converter (MC) Space Vector PWM (SVPWM)

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An Intelligent Deep Reinforcement Learning control for DC-DC Power Buck Converter Feeding a Constant Power Load 3

An Intelligent Deep Reinforcement Learning Control for DC-DC...

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3rd IEEE international conference on Sustainable Energy and Future Electric Transportation, SeFet 2023

作者： Mudiminchi, Akhil Yadav Teeparthi, Kiran Mastanaiah, Aenugu Kolipaka, Spandana Nit Andhra Pradesh Department of Electrical Engineering Tadepalligudem India

ISBN: (纸本)9798350319972

In the DC microgrid, a DC-DC converter has now been widely used as a conventional switching power supply. A suitable control system needs to be developed for a DC-DC converter to obtain the best dynamic response which is very much essential theoretically and in real-world applications since the variability of renewable energy supply is uncertain. A unique intelligent control method is proposed for buck converters to constant power loads (CPLs). In this work, the bus voltage stability issues arising in DC microgrids are addressed using deep reinforcement learning (DRL) by employing a Markov decision process (MDP). To adapt the agent-environment interaction via reward/penalties mechanism for the convergence of nominal bus voltage, a model-free DRL control method is suggested. The high-dimensional characteristic is collected by agent from complex systems which does not require any previous knowledge in order to create approximations. Lastly, the outcomes of the simulation analysis demonstrate that under various conditions, the recommended controller has a higher ability for self-improvement and learning. © 2023 IEEE.

关键词： Reinforcement learning

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Unveiling NLG Human-Evaluation Reproducibility: Lessons Learned and Key Insights from Participating in the ReproNLP Challenge 3

Unveiling NLG Human-Evaluation Reproducibility: Lessons Lear...

引用

3rd Workshop on Human Evaluation of NLP Systems, HumEval 2023

作者： Watson, Lewis Gkatzia, Dimitra School of Computing Engineering & The Built Environment Edinburgh Napier University United Kingdom

ISBN: (纸本)9789544520885

Human evaluation is crucial for NLG systems as it provides a reliable assessment of the quality, effectiveness, and utility of generated language outputs. However, concerns about the reproducibility of such evaluations have emerged, casting doubt on the reliability and generalisability of reported results. In this paper, we present the findings of a reproducibility study on a data-to-text system, conducted under two conditions: (1) replicating the original setup as closely as possible with evaluators from AMT, and (2) replicating the original human evaluation but this time, utilising evaluators with a background in academia. Our experiments show that there is a loss of statistical significance between the original and reproduction studies, i.e. the human evaluation results are not reproducible. In addition, we found that employing local participants led to more robust results. We finally discuss lessons learned, addressing the challenges and best practices for ensuring reproducibility in NLG human evaluations. © HumEval 2023 - Proceedings of the 3rd Workshop on Human Evaluation of NLP Systems, associated with the 14th international conference on Recent Advances in Natural Language Processing 2023, RANLP 2023.

关键词： Quality control

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Research on positionless control of mining high force energy density permanent magnet direct drive integrated machine based on improved sliding mode observer 3

Research on positionless control of mining high force energy...

引用

3rd international conference on Consumer Electronics and Computer engineering, ICCECE 2023

作者： Wang, Sen Chen, Nan Jia, Zijian Liang, Daili Xiao, Yanhui Yu, Wanhong Wang, Wenshuo Wang, Lei Zhu, Yuqin Zhang, Li Liu, Hao Yu, Zhanyang Du, Jianmin Shenyang Institute of Engineering Department of College of Automation Liaoning Shenyang China China Coal Technology and Engineering Group Shenyang Resreach Institute State Key Laboratory of Coal Mine Safety Technology 113122 China Shenyang University of Technology Liaoning Shenyang China

ISBN: (纸本)9798350331578

In order to realize sensorless control of mine high energy density permanent magnet direct drive integrated machine, improved sliding mode control is used to estimate rotor position and rotational speed. Due to the frequent switching of working conditions in the mine, the control system of the integrated machine is affected to a certain extent. In order to reduce the chattering effect caused by traditional sliding mode control, a sensorless vector control system with double closed-loop speed and current was built by adding phase-locked loop to improve the stability and observation accuracy of the control system. The simulation results show that the system has high state estimation accuracy, stable operation and fast response speed, which can cope with complex working conditions in mine, and is suitable for the mine with high energy density permanent magnet direct drive all-in-one. © 2023 IEEE.

关键词： Position control

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Event-triggered control Design of DC Microgrids Based on Dual-Channel Network Switching System under Denial-of-Service Attacks 3

Event-triggered Control Design of DC Microgrids Based on Dua...

引用

3rd international conference on New Energy and Power engineering, ICNEPE 2023

作者： Feng, Yiwei Meng, Yuhong Lanzhou University of Technology Gansu Lanzhou730000 China

ISBN: (纸本)9798350393224

For a class of networked DC microgrids control systems, a Dynamic Event-Triggerred Mechanism (DETM) based strategy is proposed to consider the DoS (Denial-of-Service) attacks in the case of induced delays and external disturbances. In this paper, a DETM is designed to compensate the instability of DC microgrids system by using limited bandwidth resources and primary redundant channels. Firstly, a DC microgrids model with primary redundant channels is developed, and a dwell time based switching strategy is introduced in the system in order to solve the problem of frequent switching between redundant channels, which leads to reduced switching efficiency. Then, we use the control strategy of DETM to save bandwidth resources, and further build a switching system with induced delay and external disturbance based on DoS attacks and DETM trigger sequence, construct a segmented Lyapunov-Krasovskii generalization, derive the conclusion that the system has exponential stability, and design a two-channel feedback gain and DETM parameters co-design method. Finally, the effectiveness of the target method for the design of networked DC microgrids systems is verified through simulation cases. © 2023 IEEE.

关键词： DC microgrids DoS attacks Dynamic event-triggerred mechanism (DETM) exponential stability primary-redundancy channels

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Adaptive trajectory tracking control for autonomous vehicle platoons 3

Adaptive trajectory tracking control for autonomous vehicle ...

引用

3rd international conference on Artificial Intelligence, Automation, and High-Performance Computing, AIAHPC 2023

作者： Cui, Shaohua Tang, Yutong Qi, Zhihao Xue, Yongjie School of Transportation Science and Engineering BDBC Beihang University Beijing100191 China College of Animal Science and Technology China Agricultural University Beijing100089 China State Key Laboratory of Analysis for Industrial Equipment School of Automotive Engineering Dalian University of Technology Dalian116024 China

ISBN: (数字)9781510666580

ISBN: (纸本)9781510666573

Through the backstepping technique, this paper designs an observer-based event-triggered adaptive trajectory tracking control algorithm for the autonomous vehicle (AV) platoons with motion uncertainties (e.g., unknown AV mass, air resistance, and variable conversion errors). In order to avoid the transmission of excessive multi-vehicle status information (i.e., speed, acceleration, headway, position, expected trajectory, and so on) between AVs, this adaptive platoon control algorithm proposed only uses the imprecise sampled AV positions. The event-triggered mechanism with a fixed event-triggered threshold is introduced to reduce the update frequency of AV control laws. Through the newly constructed Lyapunov function, the adaptive platoon control algorithm designed could realize the simultaneous tracking of expected position and speed trajectories, and there exists an update time interval limit of AV control laws not less than the sampling time interval of AV positions. Through numerical simulation, the adaptive platoon control algorithm designed could control the heterogeneous AV platoon in linear formation where AV speed and positions are observed precisely, and all heterogeneous AVs in the platoon track the expected position and speed trajectories simultaneously. In addition, the update time interval of AV control laws is longer than the sampling time interval of AV positions. © 2023 SPIE.

关键词： Backstepping

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Android-Based Binary Code Function Fast Positioning Technology 3

Android-Based Binary Code Function Fast Positioning Technolo...

引用

3rd IEEE international conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2023

作者： Guan, Xingyi Zhao, Min Army Engineering University of Pla Command and Control Engineering College Nanjing China

ISBN: (纸本)9781665490788

To solve the problem that the existing Android reverse analysis method is inefficient and the applicable scenario is single. A fast positioning technology for binary code function based on Android is proposed in this paper, which includes preprocessing, behavior analysis combining dynamic and static, and binary code function comparison, which can accurately and quickly locate the location of binary code function. Based on this research, to further broaden the application scenarios of the fast positioning technology proposed in this paper and realize the automatic analysis of large-scale applications, an automated analysis tool AndPosit is designed. The proposed technology has been experimentally verified that it can be widely used in various Android applications, can accurately locate the target function code, and the efficiency is more than dozens of times higher than the original manual analysis method. © 2023 IEEE.

关键词： Binary codes

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Design of Adaptive control System for Intake Air Volume of Piston Compressor Based on Fuzzy Neural Network PID controller 3

Design of Adaptive Control System for Intake Air Volume of P...

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3rd IEEE international conference on Electronic Technology, Communication and Information, ICETCI 2023

作者： Yuheng, Han Qiu, Xia Guangzhong, Hu Ping, Wang Sichuan University of Science & Engineering College of Mechanical Engineering Yibin China Sichuan University of Science & Engineering Sichuan Provincial Key Lab of Process Equipment and Control College of Mechanical Engineering Yibin China Sichuan University of Science & Engineering Key Lab. of Adv. Mfg. Technol. of Panzhihua City Sichuan Prov. Key Lab of Proc. Equip. and Control College of Mechanical Engineering Yibin China

ISBN: (纸本)9798350398410

Piston compressors are widely used in chemical industry and other fields. At present, the market puts forward a working condition requirement for piston compressor to adapt to the change of intake air volume. However, the classical PID control has shortcomings in stability time, anti-interference and PID parameter online tuning, which does not meet the requirements of working conditions. Therefore, this paper designs the adaptive control system of the intake air volume of the piston compressor according to the variable speed air volume regulation strategy and establishes a mathematical model. Using BP neural network and fuzzy control theory, a fuzzy neural network PID controller is built. Using Matlab/Simulink, a step response simulation experiment is carried out. Using C# language, the upper computer of the system is programmed. The simulation results show that the stability time of the intake air volume adaptive control system based on the fuzzy neural network PID controller is 1.63 seconds, which is 0.55 seconds and 1.6 seconds faster than that of the intake air volume adaptive control system based on the adaptive fuzzy PID controller and the classical PID controller respectively, and its anti-interference ability is stronger, which is more suitable for the realization of the intake air volume adaptive control system controller under this working condition. © 2023 IEEE.

关键词： Fuzzy neural networks

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